|
|
Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
|
|
|
|
| Symbol | Correlation |
| |
0.899911 |
| |
0.899872 |
| |
0.899778 |
| |
0.899636 |
| |
0.899520 |
| |
0.899413 |
| |
0.899413 |
| |
0.899340 |
| |
0.899325 |
| |
0.899322 |
| |
0.899309 |
| |
0.899182 |
| |
0.899161 |
| |
0.899130 |
| |
0.899077 |
| |
0.899069 |
| |
0.898966 |
| |
0.898964 |
| |
0.898762 |
| |
0.898752 |
| |
0.898648 |
| |
0.898586 |
| |
0.898552 |
| |
0.898536 |
| |
0.898423 |
|
|
|
|
|
Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
|